Dreaming: a process of self-organizationKahn and Hobson (1993) proposed that dreams are a product of self-organization of brain during sleep. As a complex system far from equilibrium state, the dreaming brain may form a new pattern by the interaction between components within this system. At REM sleep stage, signals from neuronal clusters self-organize and form image fragments, then the image fragments interact and produce images, and finally these materials are associated into a relatively continuous (...) narrative (i.e., dreams). This process above happens under a weak control of brain, and the conditions of this state mainly include: (a) the inhibition of external stimuli or feedback; (b) the changes of neuromodulatory systems (e.g., the governance of aminergic neurochemicals and the weakness of cholinergic neurochemicals); (c) the bombardment of PGO wave to the visual cortex; and (d) the changes of neural activity in brain (e.g., the activation of limbic system and the reduction of prefrontal regions). In this situation, the brain could focus on the internal world and integrate various psychological and physiological changes into dream content (Kahn et al., 2002, 2000). However, self-organization mechanism could not determine which memories will be activated and incorporated into dream content (Kahn, 2013), although it provides an approach how an ordered structure, behavior or pattern spontaneously emerges from the interaction between components or subsystems without an e... (shrink)

Neuromodelling is one of the techniques of modern neurosciences. The “at a distance” type of triadic synapse is probably the prevailing form of impulse transmission in many parts of the brain. If the genetically controlled cell-to-cell neuronal interconnections are abandoned, self-organisation may be the mechanism of structure formation in the brain. This assumption weakens the position of the reflex arc as the basic functional unit of nervous activities.

We argue that the rapid eye movement dream experiences owe their structure and meaning to inherent self-organizing properties of the brain itself. Thus, we offer a common meeting ground for brain based studies of dreaming and traditional psychological dream theory. Our view is that the dreaming brain is a self-organizing system highly sensitive to internally generated influences. Several lines of evidence support a process view of the brain as a system near the edge of chaos, (...) one that is highly sensitive to internal influences. Such sensitivity is due to several factors. First, the dreaming brain normally gates out external input and thus operates without the stabilizing influences of external feedback. Second, the pre-frontal cortex is only minimally activated during REM sleep, and hence the brain operates with weakened volition, reduced logic, and diminished self-reflection. Third, because the neuromodulatory inhibition mechanism is turned off during REM, the brain responds spontaneously to the least provocation. In addition, the dreaming brain is also subject to powerful intermittent cholinergic stimulation which may stimulate creative patterns of dream activity. (shrink)

In recent decades, several theories have claimed to explain the teleological causality of organisms as a function of self-organising and self-producing processes. The most widely cited theories of this sort are variations of autopoiesis, originally introduced by Maturana and Varela. More recent modifications of autopoietic theory have focused on system organisation, closure of constraints and autonomy to account for organism teleology. This article argues that the treatment of teleology in autopoiesis and other organisation theories is inconclusive for (...) three reasons: First, non-living self-organising processes like autocatalysis meet the defining features of autopoiesis without being teleological; second, organisational approaches, whether defined in terms of the closure of constraints, self-determination or autonomy, are unable to specify teleological normativity, that is, the individuation of an ultimate beneficiary; third, all self-organised systems produce local order by maximising the throughput of energy and/or material (obeying the maximum entropy production (MEP) principle) and thereby are specifically organised to undermine their own critical boundary conditions. Despite these inadequacies, an alternative approach called teleodynamics accounts for teleology. This theory shows how multiple self-organising processes can be collectively linked so that they counter each other’s MEP principle tendencies to become codependent. Teleodynamics embraces – not ignoring – the difficulties of self-organisation, but reinstates teleology as a radical phase transition distinguishing systems embodying an orientation towards their own beneficial ends from those that lack normative character. (shrink)

This paper approaches dreaming consciousness through an examination of the self-organizing properties of the sleeping brain. This view offers a step toward reconciliation between brain-based and content-based attempts to understand the nature of dreaming. Here it is argued that the brain can be understood as a complex self-organizing system that in dreaming responds to subtle influences such as residual feelings and memories. The hyper-responsiveness of the brain during dreaming is viewed in terms of the (...) tendency of complex chaotic-like systems to respond to small variations in initial conditions and to the amplification of subtle emotional and cognitive signals through the mechanism of stochastic resonance, all in combination with psychophysiological changes in the brain during both slow wave sleep and REM sleep dreaming. Such changes include the active inhibition of extroceptive stimulation and, especially in REM sleep, alterations in the brain's dominant neuromodulatory systems, bombardment of the visual cortex with bursts of PGO activity, increases in limbic system activity, and a reduction of activity in the prefrontal regions. (shrink)

The philosophy of nature, which encompasses the comprehensive study of the natural world, became intimately linked with the interdisciplinary approach of self-organization theory, or synergetics, as it was revealed in the latter third of the 20th century. This novel understanding of reality and its connection to synergetics becomes evident when comparing the panlogism of G.W.F. Hegel and the dialectical materialism of F. Engels, both based on 19th-century scientific achievements, with contemporary issues in natural science. This comparison is (...) justified as the worldviews formulated by Hegel, Marx, and Engels significantly influenced the development of civilization in the 20th century. Similarly, synergetics appears poised to become the cornerstone of the emerging scientific worldview. The philosophical legacies of these classical thinkers play a crucial role in shaping the theory of self-organization. Hegel examined the question of self-development within complex systems and analyzed culture through this perspective, consequently, he can be considered a precursor to synergetics. His viewpoint on the philosophy and methodology of science as a means of reflection within the domain of knowledge remains influential. The evolutionary approach, which Engels regarded as one of the major accomplishments of 19th-century science, now serves as the foundation for numerous contemporary scientific disciplines, including synergetics itself. The philosophical approach to seeking elementary entities, from which the properties of the whole could be discerned, emerged as the driving force in the development of 20th-century science. Concurrently, the challenges confronting humanity have significantly transformed the realm of scientific knowledge. Emphasis has shifted toward the laws governing the interactions of elementary entities, as well as the associated issues of structure, chaos, and self-organization. The roles of mathematical modeling, intra-scientific reflection, and large-scale projects have proven to be more critical than initially anticipated by the classical philosophers. The ongoing humanitarian and technological revolution necessitates new responses to the profound and significant questions originally posed by Hegel and Engels. (shrink)

This article addresses the question of the mechanisms of the emergence of structure and meaning in the biological and physical sciences. It proceeds from an examination of the concept of intentionality and proposes a model of intentional behavior on the basis of results of computer simulations of structural and functional self-organization. Current attempts to endow intuitive aspects of meaningful complexity with operational content are analyzed and the metaphor of DNA as a computer program (the `genetic program') is critically (...) examined in relation to an alternative metaphor of DNA as data. It is argued that relatively simple networks of boolean automata can classify and recognize patterns of binary strings on the basis of non-programmed, self-generated criteria, but lack a capacity for self-observation and interpretation. To overcome this problem it is necessary to clarify the relationships between the goals and underlying mechanisms of a process and between a system and its environment. It will be shown that memory devices that record the histories of interactions are essential for models of conscious and unconscious intentional behavior and that the possibility of infinitely sophisticated - and therefore unprogrammable - machines cannot be avoided. It will be argued that the notion of infinite sophistication allows the ideas of self-organization and physical determinism to be reconciled. These models will be used to suggest how the voluntary aspect of decision-making in general can emerge out of functional self-organizing processes. The conclusion will introduce the notion of `underdetermination' of theories, which imposes an intrinsic limitation on models of complex natural systems - a limitation that, at the same time, may be precisely what makes possible mutual understanding and intersubjectivity. (shrink)

Based on the theory of self-organization, the objective of this paper is tocritically discuss the theses defended by the postulators of two projects that aim toimprove human nature: eugenics and transhumanism. We will try to show that the“science of eugenics”, proposed by Francis Galton, and the contemporarytranshumanist project, outlined since the second half of the 20th century, share thecontroversial belief that human beings, through science and technology, are able tosuccessfully control the evolutionary processes of human species. We (...) will try to showthat this belief disregards the central characteristics of the complex self-organizedadaptive evolutionary processes of organisms in general. For this purpose, we willcritically analyse the central theses of the transhumanist project and the “status quo bias”argument proposed by Bolton and Ord in defence of such theses. We conclude byemphasizing that the proponents of the contemporary transhumanist project would benefitfrom a fallibilistic perspective that would allow them to face the project's social andethical possible implications with epistemic prudence. (shrink)

(1999). Information self‐organization and consciousness—towards a holoinformational theory of consciousness. World Futures: Vol. 53, No. 4, pp. 309-327.

In this paper, we set out to develop a theoretical and conceptual framework for the new field of Radical Embodied Cognitive Neuroscience. This framework should be able to integrate insights from several relevant disciplines: theory on embodied cognition, ecological psychology, phenomenology, dynamical systems theory, and neurodynamics. We suggest that the main task of Radical Embodied Cognitive Neuroscience is to investigate the phenomenon of skilled intentionality from the perspective of the self-organization of the brain-body-environment system, while doing (...) justice to the phenomenology of skilled action. In previous work, we have characterized skilled intentionality as the organism's tendency toward an optimal grip on multiple relevant affordances simultaneously. Affordances are possibilities for action provided by the environment. In the first part of this paper, we introduce the notion of skilled intentionality and the phenomenon of responsiveness to a field of relevant affordances. Second, we use Friston's work on neurodynamics, but embed a very minimal version of his Free Energy Principle in the ecological niche of the animal. Thus amended, this principle is helpful for understanding the embeddedness of neurodynamics within the dynamics of the system “brain-body-landscape of affordances.” Next, we show how we can use this adjusted principle to understand the neurodynamics of selective openness to the environment: interacting action-readiness patterns at multiple timescales contribute to the organism's selective openness to relevant affordances. In the final part of the paper, we emphasize the important role of metastable dynamics in both the brain and the brain-body-environment system for adequate affordance-responsiveness. We exemplify our integrative approach by presenting research on the impact of Deep Brain Stimulation on affordance responsiveness of OCD patients. (shrink)

In _Selving: A Relational Theory of Self Organization_, Irene Fast invokes the basic distinction between the self as "me" and the self as "I" in order to develop a contemporary theory of the self as subject. In a return to Freud's clinical finding that all psychological processes are personally motivated, she elaborates a notion of the "I-self" that is intrinsically dynamic and relational. Within this conception, our perceiving, thinking, feeling, and acting are not (...) what our self does; rather, they are what our self is. According to Fast, the basic unit of the dynamic I-self --of selving --is a scheme of personally motivated interaction between self and nonself. This notion, which comprehends development as a product of integration and differentiation among discrete I-schemes, provides a radically new framework for understanding those dynamic phenomena that Freud included within his structural model of the mind and that contemporary theorists have addressed within object relational perspectives. Via the notion of selving, Fast likewise brings fresh insight to a host of issues that have engaged psychoanalysts and developmental psychologists in recent years. These topics include the place of bodily experience in a relational model of mind, the organization of self as simultaneously individual and relational, the formulation of a constructivist model of psychic structure, among others. _Selving_ is not only a lucid demonstration of how a relational theory of self can reorder clinical observations in conceptually and therapeutically illuminating ways. It is also a convincing demonstration of how a constructivist model emphasizing the interactive nature of meaning-making provides bridges to Piagetian theory, developmental research, and observational infancy studies. (shrink)

This thesis contributes to a better conceptual understanding of how self-organized control works. I begin by analyzing the control problem and its solution space. I argue that the two prominent solutions offered by classical cognitive science (centralized control with rich commands, e.g., the Fodorian central systems) and embodied cognitive science (distributed control with simple commands, such as the subsumption architecture by Rodney Brooks) are merely two positions in a two-dimensional solution space. I outline two alternative positions: one is distributed (...) control with rich commands, defended by proponents of massive modularity hypothesis; the other is centralized control with simple commands. My goal is to develop a hybrid account that combines aspects of the second alternative position and that of the embodied cognitive science (i.e., centralized and distributed controls with simple commands). Before developing my account, I discuss the virtues and challenges of the first three. This discussion results in a set of criteria for successful neural control mechanisms. Then, I develop my account through analyzing neuroscientific models of decision-making and control with the theoretical lenses provided by formal decision and social choice theories. I contend that neural processes can be productively modeled as a collective of agents, and neural self-organization is analogous to democratic self-governance. In particular, I show that the basal ganglia, a set of subcortical structures, contribute to the production of coherent and intelligent behaviors through implementing “democratic" procedures. Unlike the Fodorian central system—which is a micro-managing “neural commander-in-chief”—the basal ganglia are a “central election commission.” They delegate control of habitual behaviors to other distributed control mechanisms. Yet, when novel problems arise, they engage and determine the result on the basis of simple information (the votes) from across the system with the principles of neurodemocracy, and control with simple commands of inhibition and disinhibition. By actively managing and taking advantage of the wisdom-of-the-crowd effect, these democratic processes enhance the intelligence and coherence of the mind’s final "collective" decisions. I end by defending this account from both philosophical and empirical criticisms and showing that it meets the criteria for successful solution. (shrink)

The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology. While system architecture and their general purpose may depend on domain-specific concepts and definitions, there are (at least) seven key properties of self-organization clearly identified in brain systems: 1) modular connectivity, 2) unsupervised learning, 3) adaptive ability, 4) (...) functional resiliency, 5) functional plasticity, 6) from-local-to-global functional organization, and 7) dynamic system growth. These are defined here in the light of insight from neurobiology, cognitive neuroscience and Adaptive Resonance Theory (ART), and physics to show that self-organization achieves stability and functional plasticity while minimizing structural system complexity. A specific example informed by empirical research is discussed to illustrate how modularity, adaptive learning, and dynamic network growth enable stable yet plastic somatosensory representation for human grip force control. Implications for the design of “strong” artificial intelligence in robotics are brought forward. (shrink)

Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order widely observed throughout nature. Kauffman here argues that (...) class='Hi'>self-organization plays an important role in the emergence of life itself and may play as fundamental a role in shaping life's subsequent evolution as does the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt remain poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biologicalscience itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences. (shrink)

This article reinterprets the Kelsen-Schmitt debate in the context of social systems theory and rethinks its major concepts as part of legal and political self-reference and systemic differentiation. In Kelsen?s case, it is the exclusion of sovereignty from juridical logic that opens a way to the self-reference of positive law. Similarly, Schmitt constructed his concept of the political as a self-referential system of political operations protected from the social environment by the medium of power. The author (...) argues that the process of legal and political globalisation rules out the possibility of formulating substantive theories of the state associating this particular social organisation with metaphysical values and a self-validating collective identity. Kelsen and Schmitt continue to inspire current theories of non-metaphysical globalised law and politics. However, the constitutional state and sovereignty need to be reformulated as a meeting point of functionally differentiated and globalised legal and political communications and not as their ultimate end. (shrink)

(1993). Towards a theory of self‐organization of natural and Social systems: The theory of form. World Futures: Vol. 38, Theoretical Achievements and Practical Applications of General Evolutionary Theory, pp. 139-148.

In this paper, I discuss the relationship between bodily experiences in dreams and the sleeping, physical body. I question the popular view that dreaming is a naturally and frequently occurring real-world example of cranial envatment. This view states that dreams are functionally disembodied states: in a majority of dreams, phenomenal experience, including the phenomenology of embodied selfhood, unfolds completely independently of external and peripheral stimuli and outward movement. I advance an alternative and more empirically plausible view of dreams as (...) weakly phenomenally-functionally embodied states. The view predicts that bodily experiences in dreams can be placed on a continuum with bodily illusions in wakefulness. It also acknowledges that there is a high degree of variation across dreams and different sleep stages in the degree of causal coupling between dream imagery, sensory input, and outward motor activity. Furthermore, I use the example of movement sensations in dreams and their relation to outward muscular activity to develop a predictive processing account. I propose that movement sensations in dreams are associated with a basic and developmentally early kind of bodily self-sampling. This account, which affords a central role to active inference, can then be broadened to explain other aspects of self- and world-simulation in dreams. Dreams are world-simulations centered on the self, and important aspects of both self- and world-simulation in dreams are closely linked to bodily self-sampling, including muscular activity, illusory own-body perception, and vestibular orienting in sleep. This is consistent with cognitive accounts of dream generation, in which long-term beliefs and expectations, as well as waking concerns and memories play an important role. What I add to this picture is an emphasis on the real-body basis of dream imagery. This offers a novel perspective on the formation of dream imagery and suggests new lines of research. (shrink)

There are many reasons for questioning the relevance of the concepts of self-organization (SO) and emergence. By studying three types of SO, respectively related to ontogeny, phylogeny and formalized models, we show that we always have to suppose an associated hetero-organization and preconceived immergence, unconsciously present in the authors mind. In order to understand how these unusual couples are working, they must be considered as agonistic antagonistic couples. Heteroorganization and immergence put constraints on the system so that (...) SO and emergence will produce new patterns and forms, depending on these constraints. Besides, such couples (SO and heteroorganization, emergence and immergence) seem to belong to a series of couples of the same type, allowing us to define a kind of model of life.The concept of self-organization has been presented as the main concept defining systemics, and second order cybernetics. This concept has been accepted also in general Biological Theory (BT) where authors endowed the key to many phenomena until then poorly understood. (shrink)

Instead of postulated fixed structures and abstract principles of usual positivistic science, the unreduced diversity of living world reality is consistently derived as dynamically emerging results of unreduced interaction process development, starting from its simplest configuration of two coupled homogeneous protofields. The dynamically multivalued, or complex and intrinsically chaotic, nature of these real interaction results extends dramatically the artificially reduced, dynamically single-valued projection of standard theory and solves its stagnating old and accumulating new problems, “mysteries” and “paradoxes” within the (...) unified and causally complete picture of intrinsically evolving, dynamically complex reality. The permanently unfolding complexity progress thus revealed is fundamentally unlimited and does not need to stop at the directly observed diversity of usual matter complexity. The exciting, but rigorously substantiated and objectively inevitable prospects of further civilisation complexity development towards its superior levels of genuine sustainability and global Noosphere are outlined, with practically important conclusions for today’s critical problem solution. (shrink)

To judge from the dust-jacket, this book has received a considerable amount of praise--and not just from the usual suspects. In particular, the publishers seem keen to promulgate the view that there is widespread support for the claim that Overman makes a clear, compelling, and well-argued case for the conclusions which he wishes to defend. However, it seems to me that those cited on the dust-jacket--Pannenberg ("lucid and sobering arguments"), Polkinghorne ("scrupulously argued"), Nicholi ("compelling logic and carefully reasoned argument"), Kaita (...) ("cogent and lucid"), Gingerich ("interesting and convincing"), Behe ("compelling case"), and McGrath ("clear and informed arguments")--cannot have been commenting on the book which I am currently in the process of reviewing. True enough, the book is well-organised and mostly easy to read; moreover, the book clearly demonstrates that Overman is thoroughly acquainted with popular presentations of recent work in a variety of scientific fields. But the crucial question is whether it makes a clear, compelling, and well-argued case for the conclusions which Overman wishes to defend. I shall claim in this review that the book fails on all three counts. (shrink)

Possibly the most fundamental scientific problem is the origin of time and causality. The inherent difficulty is that all scientific theories of origins and evolution consider the existence of time and causality as given. We tackle this problem by starting from the concept of self-organization, which is seen as the spontaneous emergence of order out of primordial chaos. Self-organization can be explained by the selective retention of invariant or consistent variations, implying a breaking of the initial (...) symmetry exhibited by randomness. In the case of time, we start from a random graph connecting primitive “events”. Selection on the basis of consistency eliminates cyclic parts of the graph, so that transitive closure can transform it into a partial order relation of precedence. Causality is assumed to be carried by causal “agents” which undergo a more traditional variation and selection, giving rise to causal laws that are partly contingent, partly necessary. (shrink)

'Self organization' is a popular theme in current studies of human social activity, enterprises, and information technology (IT). This document introduces one well developed theory of self organization (autopoietic theory) and discusses its application to enterprises and their management.

Recent work on self organization promises an explanation of complex order which is independent of adaptation. Self-organizing systems are complex systems of simple units, projecting order as a consequence of localized and generally nonlinear interactions between these units. Stuart Kauffman offers one variation on the theme of self-organization, offering what he calls a ``statistical mechanics'' for complex systems. This paper explores the explanatory strategies deployed in this ``statistical mechanics,'' initially focusing on the autonomy of statistical (...) explanation as it applies in evolutionary settings and then turning to Kauffman's analysis. Two primary morals emerge as a consequence of this examination: first, the view that adaptation and self-organization should be seen as competing theories or models is misleading and simplistic; and second, while we need a synthesis treating self-organization and adaptation as geared toward different problems, at different levels of organization, and deploying different methods, we do not yet have such a synthesis. (shrink)

In these notes I want to address some issues concerning self-organization that seem to me to apply generally from the micro-physical through the biological and social to the cosmological. That is, they are a part of the general theory of self-organization. I prefer to distinguish the theory of selforganization from the analysis of the concept of self-organization (which Maturana claims is oxymoronic, since there is no self that organizes1). General usage gives (...) us something to which the term 'self-organization' refers. We can set aside the question of whether or not selves can really do such a thing until we know what it is they are supposed to do.2 This approach also allows the possibility that self-organization does not pick out a single natural kind, but may refer to a range of things that are grouped together by a Wittgenstein style “family resemblance”. (shrink)

In this thesis, I discuss the organism's self-organization from the perspective of relational ontology. I critically examine scientific and philosophical sources that appeal to the concept of self-organization. By doing this, I aim to carry out a thorough investigation into the underlying reasons of emergent order within the ontogeny of the organism. Moreover, I focus on the relation between universal dynamics of organization and the organization of living systems. I provide a historical review of (...) the development of modern ideas related to self-organization. These ideas have been developed in relation to various research areas including thermodynamics, molecular biology, developmental biology, systems theory, and so on. In order to develop a systematic understanding of the concept, I propose a conceptual distinction between transitional self-organization and regulative self-organization. The former refers to the spontaneous emergence of order, whereas the latter refers to the self-maintaining characteristic of the living systems. I show the relation between these two types of organization within biological processes. I offer a critical analysis of various theories within the organizational approach. Several ideas and notions in these theories originate from the early studies in cybernetics. More recently, autopoiesis and the theory of biological autonomy asserted certain claims that were critical toward the ideas related to self-organization. I advocate a general theory of self-organization against these criticisms. I also examine the hierarchical nature of the organism's organization, as this is essential to understand regulative self-organization. I consider the reciprocal relation between bottom-up and top-down dynamics of organization as the basis of the organism's individuation. To prove this idea, I appeal to biological research on molecular self-assembly, pattern formation (including reaction-diffusion systems), and the self-organized characteristic of the immune system. Finally, I promote the idea of diachronic emergence by drawing support from biological self-organization. I discuss the ideas related to constraints, potentiality, and dynamic form in an attempt to reveal the emergent nature of the organism. To demonstrate the dynamicity of form, I examine research into biological oscillators. I draw the following conclusions: synchronic condition of the organism is irreducibly processual and relational, and this is the basis of the organism's potentiality for various organizational states. (shrink)

Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of more (...) traditional accounts. We show that the constraint-based account of emergence also leads naturally into a meaningful definition of self-organization, another concept that has received increasing attention recently. Along the way, we distinguish between order and organization, two concepts which are frequently conflated. Finally, we consider possibilities for future research in the philosophy of complex systems, as well as applications of the distinctions made in this paper. (shrink)

This article deals with the question of how self-organization in living organisms is realized. Self-organization may be observed in open systems that are out of equilibrium. Many disequilibria-conversion phenomena exist where free energy conversion occurs by spontaneously formed engines. However, how is self-organization realized in living entities? Living cells turn out to be self-organizing disequilibria-converting systems of a special kind. Disequilibrium conversion is realized in a typical way, through employing information specifying protein complexes (...) acting as nano engines. The genetic code enables processing of information—derived from coding DNA—to produce these molecular machines. Hence, information is at the core of living systems. Two promising approaches to explaining living cells containing sequences carrying information are mentioned. Also discussed is the question of whether a second concept of self-organization—namely, the Kantian concept—applies. (shrink)

Purpose. The paper aimed at analyzing the anthropological and axiological dimensions of human social expectations in the aspect of the self-organization processes of social phenomena and revealing their essence. Theoretical basis. The research is based on the synergetic paradigm, the theory of shared intentionality as well as the concept of hidden influence on the processes of socialization, synchronization of social influence on moral decisions, benefits of the cooperative learning, interpretation of social expectations as epistemological norms and standards, (...) and the concept of social support. Originality. Social expectations are considered in a synergistic relationship to their anthropological and axiological nature. The anthropological dimension of social expectations based on human nature as a mortal and rational being is outlined. The paper highlights the axiological dimension of social expectations on the ground of the need for socialization and imitation of systems of material and spiritual values in the group. The concept of stereotype and the thanatology of social expectations is substantiated. It is proved that the stereotype of social expectations is dependent on its axiological dimension, and the thanatology of social expectations is dependent on its anthropological dimension, which is based on human mortality. It has been studied out that the stereotypical and thanatological nature of social expectations significantly influences the processes of social self-organization. Conclusions. The social expectations of a person are oriented mainly toward the anthropological dimension of values since by nature a human is a mortal being. Human social expectations are mainly related to life, health, and safety showing the priority of the thanatological nature of social expectations and their futuristic content. Social expectations are also oriented towards social values. The latter is related to the collective rational nature of a person who is prone to social imitation, which affects the stereotypical nature of social expectations. Any social expectation is an axiological one. It is an expectation of material and spiritual values. The axiological dimension of social expectations has a stereotypical nature since it is linked to the specificity of collective socialization and coexistence. The anthropological dimension of social expectations has a thanatological character and is based on human nature as a mortal and at the same time rational being forming own rationality in the group. The concept of stereotypical and thanatological social expectations is promising for further scientific exploration as its methodological basis. (shrink)

This paper seeks to comprehensively and critically interconnect the well-established theoretical and methodological conceptions of self-organization, complexity and chaos with more general issues and dilemmas in the contemporary field of social theory , as well as with a new reflexive ethos and aesthetic of epistemic modesty and humility. In other words, a general theory of self-organization seems to be a suitable and sustainable analytic framework for generating, developing and cultivating a radical ethics/aesthetics of epistemological (...) weakness, as well as a sense of less strong and more reflexive sociological/epistemological worldview.Keywords: knowledge, self-organization and complexity, epistemology and ethics, reflexivity and social theory. (shrink)

We tested the new threat simulation theory of the biological function of dreaming by analysing 592 dreams from 52 subjects with a rating scale developed for quantifying threatening events in dreams. The main predictions were that dreams contain more frequent and more severe threats than waking life does; that dream threats are realistic; and that they primarily threaten the Dream Self who tends to behave in a relevant defensive manner in response to them. These predictions were confirmed (...) and the theory empirically supported. We suggest that the threat simulation theory of dreaming may have wider implications for theories about the function of consciousness. (shrink)

This chapter explains the notions of information, communication and learning in the context of the complex adaptive systems theory, under the version proposed by M. Gell‐Mann. Within the class of such systems, it focuses attention on complex and self‐organized natural systems as analyzed by H. Atlan. The chapter describes the epistemological context and the formal definition of self‐organization according to H. Atlan, because this definition results from a re‐interpretation of the Shannonian theorem of the noisy channel (...) by applying it to a system organized into several hierarchical levels. It is gradually restore Atlan's construction of the notion of the meaning of information in a hierarchical system, by contrasting the principles of order from noise and organizational noise and by accordingly distinguishing the concepts of complexity and complication. The principle of complexity from noise, which lies at the heart of the concept of self‐organization proposed by H. Atlan. (shrink)

This article reviews the seven “visions” of evolution proposed by Depew and Weber , concluding that each posited relationship between natural selection and self-organization has suited different aims and approaches. In the second section of the article, we show that these seven viewpoints may be collapsed into three fundamentally different ones: natural selection drives evolution; self-organization drives evolution; and natural selection and self-organization are complementary aspects of the evolutionary process. We then argue that these (...) three approaches are not mutually exclusive, since each may apply to different stages of development of different systems. What emerges from our discussion is a more encompassing view: that self-organization proposes what natural selection disposes. (shrink)

Recent developments in computer science, particularly ”data-driven procedures“ have opened a new level of design and engineering. This has also affected architecture. The publication collects contributions on Coding as Literacy by computer scientists, mathematicians, philosophers, cultural theorists, and architects. The main focus in the book is the observation of computer-based methods that go beyond strictly case-based or problem-solution-oriented paradigms. This invites readers to understand Computational Procedures as being embedded in an overarching ”media literacy“ that can be revealed through, and acquired (...) by, ”computational literacy“, and to consider the data processed in the above-mentioned methods as being beneficial in terms of quantum physics. ”Self-Organizing Maps“ (SOM), which were first introduced over 30 years ago, will serve as the concrete reference point for all further discussions. (shrink)

In their book, Darwinism Evolving: Systems Dynamics and the Genealogy of Natural Selection, Depew and Weber argued for the need to address the relationship between self-organization and natural selection in evolutionary theory, and focused on seven “visions” for doing so. Recently, Batten et al. in a paper in this journal, entitled “Visions of evolution: self-organization proposes what natural selection disposes,” picked up the issue with the work of Depew and Weber as a starting point. While (...) the efforts of both sets of authors are to be commended, there are substantive errors in both the presentations of my work and of my work with colleagues that undermine theirs. My purpose here is to correct the errors in question, thereby removing the undermining effects and in so doing reassert the position my colleagues and I first advanced more than two decades ago, and that I still stand by and argue for today. The central points are as follows: Self-organization or spontaneous ordering is a process of selection; this selection process is governed by a “physical selection principle”; this principle is the law of maximum entropy production; and natural selection is a special case where the components are replicating. (shrink)

The philosophical foundations of the theory of molecular self-organization (TMS) are reconstructed and compared with the explicit methodological statements made by occasions by its author(s). Special attention is paid to those philosophical fundamentals of TMS which can turn out helpful in answering the question evoking vivid discussions in the philosophy of nature of the recent decades: whether it is possible to search for a physico-chemical explanation of the genesis of life and at the same time defend its (...) specific character. In other words: do the latest findings in self-organization of prebiological molecules allow to overcome the traditional disjunction “either physics or evolution” and to replace it with the conjunction “physics and evolution”? (shrink)

This article juxtaposes the notion of wuwei in Daoism and philosophical principles of self-organization in systems theory to re-imagine classroom dynamics in which pedagogical relationships...

The Darwinian concept of natural selection was conceived within a set of Newtonian background assumptions about systems dynamics. Mendelian genetics at first did not sit well with the gradualist assumptions of the Darwinian theory. Eventually, however, Mendelism and Darwinism were fused by reformulating natural selection in statistical terms. This reflected a shift to a more probabilistic set of background assumptions based upon Boltzmannian systems dynamics. Recent developments in molecular genetics and paleontology have put pressure on Darwinism once again. Current (...) work on self-organizing systems may provide a stimulus not only for increased problem solving within the Darwinian tradition, especially with respect to origins of life, developmental genetics, phylogenetic pattern, and energy-flow ecology, but for deeper understanding of the very phenomenon of natural selection itself. Since self-organizational phenomena depend deeply on stochastic processes, self-organizational systems dynamics advance the probability revolution. In our view, natural selection is an emergent phenomenon of physical and chemical selection. These developments suggest that natural selection may be grounded in physical law more deeply than is allowed by advocates of the autonomy of biology, while still making it possible to deny, with autonomists, that evolutionary explanations can be modeled in terms of a deductive relationship between laws and cases. We explore the relationship between, chance, self-organization, and selection as sources of order in biological systems in order to make these points. (shrink)

Knowing only what is empirically knowable can't by itself entail knowledge of what consciousness "is like." But if dualism is to be avoided, the question arises: how can a process be completely empirically unobservable when all of its components are completely observable? The recently emerging theory of self-organization offers resources with which to resolve this problem: Consciousness can be an empirically unobservable process because the emotions motivating attention are experienced only from the perspective of the one whose (...) phenomenal states are executed by the self-organizing processes which themselves constitute the consciousness. I argue that a self-organizing process can differ from the sum of its (empirically observable) substrata because, rather than just being realized by them, it actively rearranges the background conditions under which alternative component causal sequences can realize the self-organizing pattern into the future. (shrink)

This paper introduces Deleuze and Guattari's assemblage theory into the contemporary biological context. I begin by laying out at some length what I take to be the defining features of Deleuze and Guattari's theory of assemblage. I consider this to be a worthwhile endeavour in its own right, and so dedicate a large portion of this paper to producing a clear account of what it is that characterises an assemblage. Then I provide a reading of Deleuze and Guattari's (...) critical conception of the organism as a kind of assemblage typified by an especially restrictive, self-regulating form of functional integration. This restrictiveness comprises what I take to be the first pole of organic life. Then I reconsider Deleuze and Guattari's positive comments about ‘non-organic life’ in this context, as a feature internal to the organisation of organic life instead of something to be set against it. I theorise this mostly in terms of symbiosis. I take the significance of symbiosis, consisting in what Deleuze and Guattari call ‘shared deterritorialisation’, to comprise the second pole of organic life. I conclude the paper with a brief discussion of how Deleuze and Guattari's assemblage-based conception of organism might be thought to anticipate and accommodate some of the contemporary research on biological individuality. (shrink)

Explores the acquisition and use of knowledge for human purposes and the extent of our ability to shape the future through the design, regulation, and restructuring of the lives of human systems at all levels.

In their book, Darwinism Evolving: Systems Dynamics and the Genealogy of Natural Selection, Depew and Weber (1995) argued for the need to address the relationship between self-organization and natural selection in evolutionary theory, and focused on seven “visions” for doing so. Recently, Batten et al. (2008) in a paper in this journal, entitled “Visions of evolution: self-organization proposes what natural selection disposes,” picked up the issue with the work of Depew and Weber as a starting (...) point. While the efforts of both sets of authors are to be commended, there are substantive errors in both the presentations of my work and of my work with colleagues (one of the “visions” discussed) that undermine theirs. My purpose here is to correct the errors in question, thereby removing the undermining effects and in so doing reassert the position my colleagues and I first advanced more than two decades ago, and that I still stand by and argue for today. The central points are as follows: (1) Self-organization or spontaneous ordering is a process of selection; (2) this selection process is governed by a “physical selection principle”; (3) this principle is the law of maximum entropy production; and (4) natural selection is a special case where the components are replicating. (shrink)

Context: Using radical constructivism, society can be considered from the perspective of asking the question, “Who conceives of society?” In Luhmann ’s social systems theory, this question itself is considered as a construct of the communication among reflexive agents. Problem: Structuration of expectations by codes operating in interhuman communications positions both communicators and communications in a multi-dimensional space in which their relations can be provided with meaning at the supra-individual level. The codes can be functionally different and symbolically generalized. (...) Method: More than Luhmann, I focus on the hypothetical status of the communication of meaning and the uncertainty involved. Meaning can be communicated because of reflexivity in interhuman communications; meaning cannot be observed. Results: The communication of denotations between semantic domains can generate “horizons of meaning” as reflexive orders that remain structurally coupled to individual minds. This elusive order contains a trade-off between “organization” at interfaces integrating expectations at each moment of time, and the potential of further differentiation among symbolically generalized codes of communication in a “self-organization” over time. Implications: One can model the coding in the communication of meaning as latent variables that evolve as an implication of the interacting intentions and expectations. The structure of expectations can be visualized and animated using semantic maps. The self-organizing horizons of meaning operate in a multidimensional space different from the network topology, and at another pace, since meaning is provided to events from the perspective of hindsight. Constructivist content: This perspective of the radical constructedness of social reality transforms the status of agency and organization in sociological theorizing from a source of change to a resource of communicative competencies and reflexive performativity. (shrink)

This paper investigates qualitatively the significance of different dimensions of ethical organisation culture for the exercise of middle managers’ moral agency in ethical problems. The research draws on the social cognitive theory of morality and on the corporate ethical virtues model. This study broadens understanding of the factors which enable or constrain managers’ potential for moral agency in organisations, and shows that an insufficient ethical organisational culture may contribute to indifference towards ethical issues, the experiencing of moral conflicts, lack (...) of self-efficacy and morally disengaged reasoning. In contrast, a healthy ethical culture can contribute to motivation to tackle ethical problems, an increased capacity for self-regulation and ultimately ethical behaviour. (shrink)

This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book's 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike.The Handbook's wide range of research methods are clearly illustrated with case studies that demonstrate their practical application. They range from the regeneration of (...) communities to musical performance; from complex governance networks to psychotherapy; from gender dynamics to agent-based modelling; and the appropriate response to pandemics. Some unusual research methods - based on art, psychology and multi-level networks - are also included. Furthermore, the book incorporates discussions on the philosophical aspect of research methods and explores important theoretical concepts, such as exaptation, emergence, self-organisation and co-evolution.This is an ideal resource for academics and researchers in the field seeking and exploring new research methods. For decision makers and researchers trying to address complex challenges it will be an essential source of inspiration that will arm them with effective state-of-the-art research methods for the future. (shrink)

The understanding of emergent, self-organizing phenomena has been immensely deepened in recent years on the basis of simulation-based theoretical research. We discuss these new ideas, and illustrate them using examples from several fields. Our discussion serves to introduce equivalent self-organized phenomena in social interaction. Interaction systems appear to be structured partly by virtue of such emergents. These appear under specific conditions: When cognitive buffering is inadequate relative to the levels of stress persons are subjected to, anxiety-spreading has the (...) potential of pushing their interaction into nonlinear conditions. Arousal in these conditions produces effects on behavior arising from biological sources-indeed, behavior can come under the control of reflex patterns. When this occurs, psychological activity no longer screens off biological controls over behavior. As the direct effects of biological activity spill into interaction, attachment behavior introduced into an interaction system can produce effects that are transmitted beyond dyads to produce global social patterns. These effects illustrate how strong interactions based in biological activity can produce an architecture for social systems. (shrink)